Characterization of the gastrointestinal bacterial microbiome of farmed juvenile and adult white Cachama (Piaractus brachypomus)

Castañeda-Monsalve, Victor Alfonso; Junca, Howard; García-Bonilla, Erika; Montoya-Campuzano, Olga Inés; Herrera, Claudia Ximena Moreno

doi:10.1016/j.aquaculture.2019.734325

Cited by 27 publications

(15 citation statements)

References 66 publications

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“…The results showed that the most abundant bacterium was Cylindrosper-mopsis of HTPC (11%); Microcystis of JTPC (7%); Synechococcus of ATPC (11%); Paludibacter of HTGC (9%); Microcystis of JTGC (20%); Arcobacter of ATGC (23%). We can see that the annotated bacteria of different classifications in different growth stages of different culture environments have significant differences, which are extremely consistent with the actual breeding situation [50,51]. Meanwhile, the Archaea in HTPC (0.1%), JTPC (0.06%), and ATPC (0.06%) as well as Euryarchaeota in HTGC (0.8%) and ATGC (0.3%) and the Archaea in JTGC (0.6%) were also found by using KRONA software annotation ( Figure 3A-F).…”

Section: Annotation Analysis Of the Microbiotasupporting

confidence: 73%

A First Insight into the Structural and Functional Comparison of Environmental Microbiota in Freshwater Turtle Chinemys reevesii at Different Growth Stages under Pond and Greenhouse Cultivation

et al. 2020

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The microbial community structure of water is an important indicator for evaluating the water quality of the aquaculture environment. In this study, the investigation and comparison of the bacterial communities of pond cultivation (PC) and greenhouse cultivation (GC) between hatchling, juvenile, and adult growth stages of C. reevesii were performed. In addition, the V4 regions of the 16S rRNA gene were sequenced. The Chao1 richness estimator of the PC group was significantly higher than that of the GC group. The beta diversity showed that the microbiotas of the two groups were isolated from each other. The dominant phyla were Cyanobacteria, Proteobacteria, Actinobacteria, Bacteroidetes, Verrucomicrobia, and Planctomycetes in the PC group and Proteobacteria, Bacteroidetes, Firmicutes, Cyanobacteria, Chloroflexi, and Actinobacteria in the GC group. Both the numbers and the types of Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway annotations differed between the PC and GC groups. The prediction of bacterial phenotype implied that the GC environment is more likely to deteriorate, and turtles are more susceptible to pathogens than those of the PC environment. In addition, a total of nine potential pathogenic bacteria were identified and the correlation of environmental factors analyses showed significant differences of bacterial species between the PC and GC groups, while the potential pathogenic bacteria showed significant correlation with the stocking density, temperature, pH, orthophosphate (PO4-P), and dissolved oxygen (DO) in both the PC and GC groups. Noticeably, this is the first report to describe the different microbiota characteristics of the different cultivation environments in the different growth stages of C. reevesii, which will provide valuable data for water quality adjustment, disease prevention, and the healthy breeding of turtles.

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Section: Annotation Analysis Of the Microbiotasupporting

confidence: 73%

A First Insight into the Structural and Functional Comparison of Environmental Microbiota in Freshwater Turtle Chinemys reevesii at Different Growth Stages under Pond and Greenhouse Cultivation

et al. 2020

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“…c_Epsilonproteobacteria.o_Campylobacterales.f_Campylobacteraceae.g_Arcobacter of ATGC (23%). We can see that the annotated bacteria of different classi cations in different growth stages of different cultured environments have signi cant differences, which are extremely consistent with the actual breeding situation (Castañeda-Monsalve et al, 2019;. Meanwhile, the Archaea in HTPC (0.1%), JTPC (0.06%), and ATPC (0.06%) as well as euryarchaeota in HTGC (0.8%) and ATGC (0.3) and the archaea in JTGC (0.6%) were also found by using KRONA software annotation (Fig.…”

Section: Annotation Analysis Of the Microbiotasupporting

confidence: 71%

Comparing environmental microbiota of different growth stages of fresh water turtle Chinemys reevesii in pond and greenhouse cultivation

Zhou¹,

Xie²,

Sun³

et al. 2020

Preprint

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The microbial community structure is an important indicator for evaluating the water quality of the aquaculture environment. In this study, V4 regions of 16S rRNA gene of pond (PC) and greenhouse cultured (GC) C. reevesii were sequenced. Results showed that a total of 1,993,090 high quality counts and 105,159 observed OUTs were obtained; and the Chao1 richness estimator of PC was significantly higher than that of GC groups. Beta-diversity showed that the microbiota of two groups were isolated from each other. In addition, the correlation analysis of environmental factors showed that NO2-N, PH, PO4-P, and stocking density played significant roles in the bacterial community composition. The dominant phyla in PC groups were cyanobacteria, proteobacteria, actinobacteria, bacteroidetes, verrucomicrobia, planctomycetes; and in GC groups were proteobacteria, bacteroidetes, firmicutes, cyanobacteria, chloroﬂexi, actinobacteria. The functional prediction showed that the top5 Picrust prediction gene functions were protein processing in endoplasmic reticulum, retinol metabolism, proteasome, glycan binding proteins, and stilbenoid, diarylheptanoid and gingerol biosynthesis. Meanwhile, the numbers and types of KEGG pathway annotations showed a significant difference between the two cultivation environments. The prediction of bacterial phenotype implied that the GC environment is more likely to deteriorate, and turtles are more susceptible to pathogens than those of PC environment. This is the first report to explore and understand the difference of microbiota characteristics between different cultivation environments in different growth stages of C. reevesii, which will provide basic data for water quality adjustment, disease prevention, and healthy breeding of turtle.

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“…In addition, snails of different sizes could also use different strategies when fed on the same macrophyte species [ 60 ]. Bacterial microbiota from juvenile and adult snails were significantly different in precious reports in which the changes of the microbiota were observed at different developmental stages of the aquatic animals, such as southern catfish ( Silurus meridionalis ) and white cachama ( Piaractus brachypomus ) [ 63 , 64 ], proposing that as the aquatic animal transits through youthhood to adulthood, the microbiota drifts, even when the environment remained constant.…”

Section: Discussionmentioning

confidence: 99%

Composition and diversity of gut microbiota in Pomacea canaliculata in sexes and between developmental stages

Chen

Xiao

et al. 2021

BMC Microbiol

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Background The apple snail, Pomacea canaliculata, is one of the world’s 100 worst invasive alien species and vector of some pathogens relevant to human health. Methods On account of the importance of gut microbiota to the host animals, we compared the communities of the intestinal microbiota from P. canaliculata collected at different developmental stages (juvenile and adult) and different sexes by using high-throughput sequencing. Results The core bacteria phyla of P. canaliculata gut microbiota included Tenericutes (at an average relative abundance of 45.7 %), Firmicutes (27.85 %), Proteobacteria (11.86 %), Actinobacteria (4.45 %), and Cyanobacteria (3.61 %). The female group possessed the highest richness values, whereas the male group possessed the lowest bacterial richness and diversity compared with the female and juvenile group. Both the developmental stages and sexes had important effects on the composition of the intestinal microbiota of P. canaliculata. By LEfSe analysis, microbes from the phyla Proteobacteria and Actinobacteria were enriched in the female group, phylum Bacteroidetes was enriched in the male group, family Mycoplasmataceae and genus Leuconostoc were enriched in the juvenile group. PICRUSt analysis predicted twenty-four metabolic functions in all samples, including general function prediction, amino acid transport and metabolism, transcription, replication, recombination and repair, carbohydrate transport and metabolism, etc. Conclusions This study provided a general understanding of the diversity characteristics of intestinal microbial communities of P. canaliculata, and indicated that developmental stage and gender could both influence the intestinal microbes of P. canaliculata. Further study may focus on the interaction between the gut microbiota and their host.

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Characterization of the gastrointestinal bacterial microbiome of farmed juvenile and adult white Cachama (Piaractus brachypomus)

Cited by 27 publications

References 66 publications

A First Insight into the Structural and Functional Comparison of Environmental Microbiota in Freshwater Turtle Chinemys reevesii at Different Growth Stages under Pond and Greenhouse Cultivation

A First Insight into the Structural and Functional Comparison of Environmental Microbiota in Freshwater Turtle Chinemys reevesii at Different Growth Stages under Pond and Greenhouse Cultivation

Comparing environmental microbiota of different growth stages of fresh water turtle Chinemys reevesii in pond and greenhouse cultivation

Composition and diversity of gut microbiota in Pomacea canaliculata in sexes and between developmental stages

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